The LooPa project addresses the challenges of accessing and analysing fragmented healthcare data by developing an AI model capable of converting free text into structured database queries (chat-to-DB). It extends this capability into a federated, privacy-preserving network, enabling secure identification of healthcare providers with patients matching specific criteria, while safeguarding sensitive information.
Promptly Health
As the coordinating entity of the LooPa project, Promptly Health leads the development of an AI-powered solution for querying distributed healthcare data. Core responsibilities include:
Developing an AI model capable of converting free text into structured database queries (chat-to-DB)
Designing and implementing a federated data querying infrastructure, enabling secure access across multiple healthcare providers
Integrating privacy-preserving technologies (PETs) to ensure secure and compliant data access
Ensuring data interoperability and standardization, enabling consistent querying across heterogeneous data sources
Delivering user-friendly tools that allow non-technical users to explore and identify relevant patient cohorts
With strong expertise in real-world data and federated architectures, Promptly is enabling healthcare organisations to unlock the value of distributed data, supporting scalable, privacy-preserving, and data-driven research and decision-making.
Portugal 2030 is a strategic partnership between Portugal and the European Commission, supported by EU cohesion policy funds. It aims to drive innovation, sustainability, and digital transformation across sectors. With €23 billion in funding, it supports projects that strengthen the economy and public services.
COMPETE 2030 is a key programme under Portugal 2030 that supports innovation, digitalisation, and competitiveness, especially in less developed regions. It funds research, technology adoption, and industrial transition to boost economic growth.
The programme promotes greener and more social development aligned with EU priorities. Projects like ONCATS fit its goals by advancing data-driven healthcare innovation. Under COMPETE 2030, ONCATS develops a secure, federated data network for oncology, enabling real-world evidence analysis while protecting privacy. This enhances decision-making in cancer care and optimizes resource use.
It exemplifies digital transformation in healthcare aligned with COMPETE 2030’s mission.
